
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "184"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 105 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 101 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.282818	-0.672719	-0.472359	-0.633095	1.965265	-1.542762	-0.641936	-0.410868	0.8006	0.7959	0.2501	10.191697	10.244473
2459593	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.301739	-1.317549	-0.604368	-0.191861	1.091505	-1.476978	-0.530210	-0.516995	0.7434	0.7369	0.2507	7.468797	6.415925
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	0.168756	-0.973906	-0.132833	-0.736450	1.217643	-0.434600	-0.599626	-0.065014	0.0282	0.0297	0.0008	nan	nan
2459591	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.242540	-0.910895	-0.273534	-0.340639	1.035354	-1.009033	1.010225	1.207849	0.6801	0.6873	0.3651	9.991276	8.238400
2459590	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.155716	-0.763612	-0.940876	-0.207062	2.854444	-1.077596	-0.058545	-0.033781	0.6847	0.6868	0.3585	8.040921	6.245101
2459589	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.099909	-0.662289	-1.048545	-0.266059	-0.038359	-1.399482	-0.935749	-0.677261	0.7301	0.7196	0.2756	6.363769	5.512074
2459588	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.182253	-1.454691	-0.035225	-0.098187	0.854253	-1.305744	-0.718684	-0.498406	0.7866	0.7623	0.2309	12.290250	9.715755
2459587	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	-0.200674	-0.923132	0.298727	0.048310	-0.465257	-0.980770	-0.483719	-0.348591	nan	nan	nan	28.161804	22.514334
2459586	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.507014	0.428710	0.684403	1.712559	3.944864	0.820381	0.677998	0.952185	0.6735	0.6796	0.3507	5.165741	4.614345
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	163.214691	163.263190	inf	inf	17.332693	14.981038	1892.720672	1139.233731	nan	nan	nan	0.000000	0.000000
2459584	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.119695	-0.865177	-0.317202	-0.362577	0.680917	-1.387461	0.129818	0.142821	0.6209	0.6258	0.3605	18.266415	15.391353
2459583	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.124256	-0.795562	-0.012094	-0.243869	1.688269	-1.045912	0.695086	1.075127	0.6833	0.6888	0.3745	5.537948	4.935696
2459582	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.245447	-0.691722	-0.343448	-0.082380	1.536563	-1.008469	1.683295	1.865680	0.6829	0.6885	0.3776	4.793950	4.354910
2459581	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.001552	-1.022378	-0.185014	-0.557099	1.882231	-0.921445	0.627999	0.399158	0.6903	0.6948	0.3767	4.557608	4.067510
2459580	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.121064	-0.795468	-0.763894	-0.424830	2.125406	-0.971616	0.041892	0.421759	0.6872	0.6905	0.3763	6.059917	5.390795
2459579	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.098766	-0.695448	-0.342645	0.036267	2.140941	-0.757330	1.728822	1.352536	0.6734	0.6797	0.3793	35.031710	36.465036
2459578	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.588566	-0.245492	-0.607531	-0.794281	0.681960	-0.666549	0.065223	-0.895470	0.0330	0.0327	0.0022	nan	nan
2459577	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.311627	-0.636485	-0.376182	-0.442974	1.376008	-1.006386	-0.090948	-0.411094	0.6827	0.6877	0.3804	4.143779	3.718417
2459576	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.090586	-0.417616	-0.327411	-0.009752	1.085534	-0.873595	-0.089769	-0.150944	0.7094	0.7139	0.3745	6.679780	6.372913
2459575	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.088260	-0.980642	-0.289915	-0.185603	1.076883	-1.043788	-0.306657	-0.167169	0.7682	0.7689	0.3238	4.405222	4.391672
2459574	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.160791	-0.644575	-0.377908	-0.217933	0.162837	-0.899036	-0.142837	-0.164419	0.7043	0.7086	0.3738	4.506926	4.242419
2459573	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.207531	-0.518880	-0.208396	-0.321478	2.130278	-1.044738	2.703673	3.236797	0.6980	0.7045	0.3806	7.576636	5.446532
2459572	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.257404	-0.810693	-0.459665	-0.207616	0.311325	-0.948598	0.973589	0.952386	0.7057	0.7134	0.3764	5.751600	5.351242
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.301516	-0.207076	-0.822734	-0.856973	0.053357	-1.326949	-0.294281	-0.951852	0.0369	0.0390	0.0031	nan	nan
2459570	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.885118	-0.855972	-1.006305	-0.946245	-0.983179	-0.798376	-1.048832	-0.783738	0.6818	0.6988	0.3544	14.747101	12.318811
2459569	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.653042	-0.681812	-0.428224	-0.270991	-0.330187	-0.387944	-0.537657	-0.430625	0.7885	0.7893	0.2207	5.942815	5.105850
2459566	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.200207	-0.933295	-0.087916	-0.160977	0.285267	-1.141845	-0.229986	-0.661454	0.6981	0.7069	0.3928	4.460501	3.573545
2459565	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.118360	-0.135508	-0.235557	0.174427	0.453786	-0.205263	-0.273435	-0.320425	0.7178	0.7144	0.3952	4.399547	3.489661
2459563	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.106200	-0.751256	0.244812	0.311994	0.941766	-0.868543	-0.013332	-0.340401	0.7126	0.7136	0.3841	5.680741	4.856519
2459562	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.159757	-0.043118	0.065601	0.200473	0.626970	0.405366	0.036000	0.052036	0.7174	0.7197	0.3800	4.328136	3.420644
2459561	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.000444	-0.345226	0.082025	0.020501	1.315533	0.075791	0.718667	0.368852	0.7099	0.7155	0.3819	3.835908	3.094128
2459560	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.117187	-0.234888	0.223374	0.027518	1.504383	0.237619	1.094954	0.686081	0.7086	0.7131	0.3939	4.012565	3.224655
2459559	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.009595	-0.269943	-0.043762	-0.040120	1.430450	-0.016764	0.371463	-0.019997	0.7109	0.7130	0.3822	3.659219	3.069026
2459558	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.035588	-0.607285	-0.321048	-0.077844	2.097408	-1.260607	-0.055588	-0.320278	0.7130	0.7110	0.3900	4.629371	3.683154
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0292	0.0325	0.0012	nan	nan
2459556	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.027493	-0.827800	-0.502056	0.088578	1.240892	-0.993489	0.062693	0.055549	0.7068	0.7065	0.3924	4.544011	3.876937
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7188	0.7186	0.3936	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7148	0.7143	0.3949	nan	nan
2459552	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.255044	-0.625369	-0.605889	-0.782318	0.287619	-1.801831	-0.634101	-0.851132	0.7195	0.7180	0.3955	8.699645	7.779592
2459551	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.172614	-0.291537	-0.036056	0.028552	1.911123	0.202175	0.680829	0.344259	0.7147	0.7158	0.3899	4.131102	3.300038
2459550	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0342	0.0348	0.0010	nan	nan
2459549	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.002605	-0.770671	-0.308030	-0.327049	1.579351	-0.877400	0.629177	0.083766	0.7086	0.7076	0.4014	4.859226	3.777198
2459542	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.640634	-0.929254	0.144571	-0.050774	0.986755	-0.707838	-0.311660	-0.720517	0.7600	0.7516	0.3561	4.279998	3.445595
2459541	RF_maintenance	0.00%	1.34%	1.34%	0.00%	100.00%	0.00%	-0.040398	-0.735871	-1.076367	-0.465626	-0.602610	0.740470	-1.045618	-0.890469	0.7551	0.7450	0.3265	5.964461	5.026487
2459540	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.347085	-0.747459	0.046180	0.016056	1.734700	-0.148379	0.403705	0.185231	0.7622	0.7555	0.3398	3.568331	2.874876
2459536	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.812432	-0.750894	-0.873848	-0.428876	0.532066	-0.486104	0.173491	-0.251949	0.7362	0.7341	0.4201	6.121613	4.632160
2459535	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.084231	-0.729030	0.168920	-0.037924	1.474975	-0.052290	0.905607	0.619365	0.7939	0.7742	0.3561	3.598018	2.855236
2459534	RF_maintenance	100.00%	98.66%	98.66%	0.00%	100.00%	0.00%	3.704931	3.245376	-0.068863	-1.014145	2.403665	4.346608	8.669656	8.316370	0.0849	0.1247	0.0198	1.284147	1.263461
2459533	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.273452	-0.627286	-0.395459	-0.606606	1.985151	-0.856317	1.945940	2.488204	0.7286	0.7234	0.4024	4.032019	3.521700
2459532	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.062895	-0.126323	-0.314569	-0.098153	1.319114	-1.170415	0.987539	1.599747	0.7341	0.7309	0.3977	5.034398	4.055885
2459530	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.014258	-0.521381	0.015143	0.002711	1.655685	0.154535	1.205536	1.502787	0.7504	0.7390	0.3877	4.066473	3.423720
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.829851	-0.299392	0.322641	-0.576807	0.143579	-1.165861	0.726001	0.017613	0.9046	0.9330	0.2936	0.000000	0.000000
2459523	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	2.844384	0.051773	-0.413101	-0.656859	2.974091	0.080387	2.088043	1.134791	nan	nan	nan	6.514963	4.996860
2459522	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.785157	-0.899445	-0.860138	-0.476625	0.603911	0.065718	2.142440	0.149024	0.7106	0.6855	0.3340	5.694719	6.500253
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.226678	-0.219287	-0.588682	-0.818535	1.827965	0.217986	-0.009581	-0.623659	0.0336	0.0329	0.0030	nan	nan
2459508	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.079871	-1.026577	0.183781	-0.531818	0.540940	-0.723554	-0.016213	-0.832310	0.9199	0.9443	0.1659	0.000000	0.000000
2459505	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.287065	-1.169644	-0.352911	0.184505	-0.770793	0.076092	1.169781	0.583418	0.1003	0.1114	0.0058	1.423675	1.369732
2459503	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.071221	-0.787420	-0.846695	-0.519982	-0.103060	0.059094	-0.539296	-0.335823	0.8707	0.8665	0.4276	0.000000	0.000000
2459501	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.376329	-0.977468	-0.521473	-0.980457	2.073490	-0.884778	0.170417	-0.084360	0.1104	0.1356	0.0148	0.000000	0.000000
2459500	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.432320	-1.432752	0.141363	-1.350715	0.102844	-0.791299	0.402673	-0.323809	0.0972	0.1222	0.0113	0.000000	0.000000
2459499	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.068459	-1.201135	0.431174	-1.074689	-0.017043	-0.713615	0.710881	-0.866235	0.1100	0.1205	0.0096	0.000000	0.000000
2459498	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.401377	-1.198178	-0.353267	-0.899384	-0.412869	-0.820489	0.107929	-0.462822	0.1164	0.1194	0.0163	0.000000	0.000000
2459497	RF_maintenance	0.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.034139	-1.092212	-0.916836	-0.970445	-0.085268	-0.953345	-0.099054	0.010020	0.1380	0.1312	0.0223	0.000000	0.000000
2459496	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.290243	-1.377512	-0.207178	-0.696364	0.074006	-0.785344	-0.684955	-0.730816	0.9109	0.9168	0.3650	0.000000	0.000000
2459495	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.702681	-1.261399	-0.144298	-0.819695	-0.219349	-0.640840	-0.619719	-0.576139	0.9073	0.9117	0.4001	0.000000	0.000000
2459494	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.169550	-1.311165	0.561603	-0.910542	1.091218	-0.361415	0.697696	2.626044	0.8894	0.8990	0.4176	0.000000	0.000000
2459492	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.638805	-1.450350	-0.681356	-1.540379	2.135664	-0.935006	0.184787	-1.199737	0.7534	0.7989	0.3279	13.025179	9.141166
2459491	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.001338	-1.276410	0.021462	-1.199995	2.922526	-1.428980	0.449189	-0.354020	0.7965	0.8160	0.2608	4.743375	3.904721
2459490	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.226975	-1.259989	0.217406	-1.851456	1.920673	-0.803384	1.709558	1.173551	0.7481	0.7984	0.3744	8.098150	5.510046
2459489	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.534421	-1.021307	-0.511591	-1.322070	3.266528	-0.869023	-0.092212	-0.776066	0.7690	0.8076	0.3211	6.851411	4.978325
2459488	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.107939	-1.111057	-0.579849	-1.138220	2.748654	-0.713413	-0.271830	-0.868669	0.7703	0.8095	0.3542	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 184 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 184, Node 14:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 184: 2459629

Antenna 184: 2459628

Antenna 184: 2459627

Antenna 184: 2459626

Antenna 184: 2459625

Antenna 184: 2459624

Antenna 184: 2459623

Antenna 184: 2459622

Antenna 184: 2459621

Antenna 184: 2459620

Antenna 184: 2459619

Antenna 184: 2459618

Antenna 184: 2459617

Antenna 184: 2459616

Antenna 184: 2459615

Antenna 184: 2459614

Antenna 184: 2459613

Antenna 184: 2459612

Antenna 184: 2459611

Antenna 184: 2459610

Antenna 184: 2459609

Antenna 184: 2459608

Antenna 184: 2459607

Antenna 184: 2459605

Antenna 184: 2459604

Antenna 184: 2459603

Antenna 184: 2459602

Antenna 184: 2459598

Antenna 184: 2459597

Antenna 184: 2459596

Antenna 184: 2459595

Antenna 184: 2459594

Antenna 184: 2459593

Antenna 184: 2459592

Antenna 184: 2459591

Antenna 184: 2459590

Antenna 184: 2459589

Antenna 184: 2459588

Antenna 184: 2459587

Antenna 184: 2459586

Antenna 184: 2459585

Antenna 184: 2459584

Antenna 184: 2459583

Antenna 184: 2459582

Antenna 184: 2459581

Antenna 184: 2459580

Antenna 184: 2459579

Antenna 184: 2459578

Antenna 184: 2459577

Antenna 184: 2459576

Antenna 184: 2459575

Antenna 184: 2459574

Antenna 184: 2459573

Antenna 184: 2459572

Antenna 184: 2459571

Antenna 184: 2459570

Antenna 184: 2459569

Antenna 184: 2459566

Antenna 184: 2459565

Antenna 184: 2459564

Antenna 184: 2459563

Antenna 184: 2459562

Antenna 184: 2459561

Antenna 184: 2459560

Antenna 184: 2459559

Antenna 184: 2459558

Antenna 184: 2459556

Antenna 184: 2459552

Antenna 184: 2459551

Antenna 184: 2459549

Antenna 184: 2459542

Antenna 184: 2459541

Antenna 184: 2459540

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶